Year: 2025 | Month: January | Volume: 12 | Issue: 1 | Pages: 224-231
DOI: https://doi.org/10.52403/ijrr.20250128
Integrating AI-Driven Tax Technology into Business Strategy
Tolulope Aladebumoye
School of Accounting, Finance, Economics and Decision Sciences, Western Illinois University, Macomb, USA
ABSTRACT
The integration of Artificial Intelligence (AI) into tax technology presents transformative potential for enhancing business strategies by significantly improving efficiency, accuracy, and compliance. This paper delves into these advancements and critically evaluates their strategic implications across various sectors, providing a thorough analysis of how AI-driven innovations are reshaping tax practices. It highlights the dual role of AI in not only simplifying and automating complex tax operations but also in enabling businesses to navigate the increasingly complex maze of global tax regulations more effectively. Furthermore, this exploration extends to the potential challenges that accompany the adoption of AI technologies, such as data security, privacy concerns, and the need for robust ethical frameworks to guide their use. Through a comprehensive literature review and analysis, it becomes evident that while AI-driven tax technology can dramatically enhance business operations and strategic planning, it also introduces significant challenges that require careful consideration and strategic management. The paper discusses these issues in depth, alongside proposing potential solutions that can help businesses harness the full potential of AI in their tax functions without compromising on security or ethical standards. The findings underscore the critical balance between leveraging technological advancements and addressing the associated risks, suggesting a roadmap for successful integration into business practices.
Keywords: Artificial Intelligence, Tax Technology, Business Strategy, Tax Compliance, Data Security.
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